Azure AI Engineer

True North Consulting Group Ltd; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

True North Consulting Group Ltd is seeking skilled engineers to design and develop AI-powered business solutions in a UK-based environment. The role spans building AI copilots, knowledge management capabilities, and secure cloud-native applications, with strong emphasis on integration with enterprise systems and data sources.

The team works in an Agile delivery setting, requiring excellent problem-solving and stakeholder engagement.

Qualifications

• Must demonstrate strong experience in at least one of the listed areas.
• Experience with Azure AI, data engineering, or full-stack/cloud-native software engineering is highly desirable.
• Excellent problem-solving and communication skills and ability to work in Agile delivery environments.

Responsibilities

• Design and develop AI-powered business solutions.
• Build AI assistants, copilots and intelligent workflows.
• Develop retrieval and knowledge management capabilities.
• Create secure, scalable cloud-native applications.
• Integrate AI services with enterprise systems and data sources.
• Implement security, governance and operational controls.
• Support deployment, testing and optimisation of AI solutions.
• Collaborate with analysts, architects and delivery teams to deliver business outcomes.

Tools

Azure AI Foundry

Azure OpenAI

Prompt Flow

Prompt Engineering

Agentic AI solutions

AI orchestration

AI evaluation

Responsible AI

Azure AI Search

RAG

Vector search

Metadata management

CI/CD pipelines

Authentication

Authorisation

Cloud-native development

Secure software engineering

Full stack development

React

TypeScript

API integration

Azure platform services

Logic Apps

Event-driven architectures

Microservices

Platform automation

DevOps

Job description

We Are Interested In Candidates With Experience In One Or More Of The Following Areas AI Engineering

• Azure AI Foundry
• Azure OpenAI
• Prompt Flow
• Prompt Engineering
• Agentic AI solutions
• AI orchestration and workflow automation
• AI evaluation and optimisation
• Responsible AI and guardrails

Data & Context Engineering

• Azure AI Search
• Retrieval Augmented Generation (RAG)
• Vector search and semantic retrieval
• Document ingestion and processing pipelines
• Context engineering
• Metadata management
• Evaluation datasets and testing frameworks

Application Engineering

• Full stack application development
• React and TypeScript
• API integration
• Cloud-native development
• Authentication and authorisation
• CI/CD pipelines
• Secure software engineering

Cloud & Integration Engineering

• Azure platform services
• Logic Apps
• Event-driven architectures
• Enterprise integration patterns
• Microservices
• Platform automation and DevOps

Key Responsibilities

Depending on your area of expertise, you will contribute to:

• Designing and developing AI-powered business solutions.
• Building AI assistants, copilots and intelligent workflows.
• Developing retrieval and knowledge management capabilities.
• Creating secure and scalable cloud-native applications.
• Integrating AI services with enterprise systems and data sources.
• Implementing security, governance and operational controls.
• Supporting deployment, testing and optimisation of AI solutions.
• Collaborating with analysts, architects and delivery teams to deliver business outcomes.

Essential Skills & Experience

Candidates should demonstrate strong experience in at least one of the following:

• Azure AI and Generative AI development.
• Data engineering and retrieval architectures.
• Full stack application development.
• Cloud-native software engineering.
• Enterprise integration and platform engineering.

You should also possess:

• Strong problem-solving and technical design skills.
• Experience working within Agile delivery environments.
• Excellent communication and stakeholder engagement skills.
• A collaborative approach to multidisciplinary delivery.
• This role requires active UK Security Check (SC) clearance. Due to programme requirements, only candidates holding current and transferable SC clearance at the point of application can be considered. Applicants must have the right to work in the UK and be willing to maintain clearance for the duration of the engagement.

Desirable Experience

• Azure certifications.
• Experience with Large Language Models (LLMs).
• Knowledge of agentic AI frameworks.
• Experience working within secure or regulated environments.
• Exposure to enterprise-scale AI deployments.